Date of Award


Degree Type

Open Access Master's Thesis

Degree Name

Politics, MA


School of Social Science, Politics, and Evaluation

Advisor/Supervisor/Committee Chair

Mark Blitz

Terms of Use & License Information

Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.

Rights Information

© 2020 Mark Kumleben


AI, Artificial Intelligence, Futurism, Heidegger, Superintelligence, Technology

Subject Categories

Political Science


This paper analyzes the state of modern artificial intelligence research from a philosophical perspective, in order to argue for interdisciplinary cooperation in building an effective AI research paradigm. I assess four different aspects of AI: its ability to perceive the world through pattern recognition, its ability to act in the world through reinforcement learning, its role in technological society as predicted by Heidegger’s theory of technology, and its future development into potential superintelligence. By connecting these to an unexamined theory of the human mind underpinning AI research, I seek to show the relationship between our understanding of natural minds and of artificial intelligence, and how each may inform the other. Thus, this paper suggests that an improved understanding of natural minds may inspire AI researchers in their innovations, and that the discoveries made in AI research may in turn weigh for or against the hypotheses of philosophers.